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𝗦𝗼𝗺𝗲 𝗽𝗹𝗮𝗰𝗲𝘀 𝘀𝘁𝗮𝘆 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂.

𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 is one of them — it’s 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗗𝗲𝘃𝗵𝗱 𝘀𝘁𝗼𝗿𝘆 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 𝗮𝘁 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲𝟭𝟲.

Now we’re heading to Las Vegas again.
Adrian Herdan, Florin Danis and Alexandru-Radu Aluchi will be at 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲𝟮𝟲, ready to reconnect, exchange ideas and explore what’s next in the ServiceNow ecosystem.

𝘏𝘢𝘷𝘦 𝘺𝘰𝘶 𝘱𝘭𝘢𝘯𝘯𝘦𝘥 𝘺𝘰𝘶𝘳 𝘢𝘨𝘦𝘯𝘥𝘢 𝘺𝘦𝘵?

Let’s connect if you’re around.

🤔 𝗖𝗮𝗻 𝗔𝗜 𝘁𝗮𝗸𝗲 𝗮𝗰𝘁𝗶𝗼𝗻 𝗶𝗻𝘀𝗶𝗱𝗲 𝘁𝗵𝗲 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 — 𝘀𝗮𝗳𝗲𝗹𝘆, 𝗿𝗲𝗽𝗲𝗮𝘁𝗲𝗱𝗹𝘆 𝗮𝗻𝗱 𝗲𝗻𝗱‐𝘁𝗼‐𝗲𝗻𝗱?

ℹ️ VentureBeat recently published an in‑depth look at how ServiceNow is addressing this. It introduces the 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗪𝗼𝗿𝗸𝗳𝗼𝗿𝗰𝗲 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸, the 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝗪𝗼𝗿𝗸𝘀 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 and, most importantly, an architectural approach called 𝗿𝗼𝗹𝗲 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻.

ℹ️ Traditional AI agents try to figure out on their own what actions they’re allowed to take and determine their own boundaries on the fly — often by making predictions, assumptions or reasoning through permissions. In a large enterprise, that can be 𝗿𝗶𝘀𝗸𝘆.

ℹ️ With 𝗿𝗼𝗹𝗲 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, an AI specialist doesn’t need to figure anything out — 𝗶𝗻𝗵𝗲𝗿𝗶𝘁𝘀 𝗽𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗲𝗱 𝗽𝗲𝗿𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝗶𝗲𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. The same access controls, CMDB context, SLA logic and entitlement rules that apply to human workers apply to the AI from day one.

ℹ️ The article also outlines a 𝘁𝗵𝗿𝗲𝗲‐𝘁𝗶𝗲𝗿 𝗺𝗼𝗱𝗲𝗹 (𝘁𝗮𝘀𝗸 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗿𝗼𝗹𝗲 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻) and shows how a Level 1 AI specialist can resolve IT requests end‑to‑end within its defined scope.

𝗔 𝗰𝗹𝗲𝗮𝗿 𝗹𝗼𝗼𝗸 𝗮𝘁 𝗵𝗼𝘄 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝗡𝗼𝘄 𝗶𝘀 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲‐𝗴𝗿𝗮𝗱𝗲 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀.

👇 Link to the article below.

ServiceNow resolves 90% of its own IT requests autonomously. Now it wants to do the same for any enterprise ServiceNow's new Autonomous Workforce framework inherits enterprise permissions from deployment — so AI specialists can't exceed scope or self-escalate. CVS Health's CISO explains why governance architecture, not capability, is the real unlock for enterprise agentic AI.